Enhanced shopping actions on a mobile device

ABSTRACT

Example embodiments described herein disclose a specially configured device to receive and recognize enhanced user interactions through a graphical user interface. A user device may accordingly receive and display a set of search results, detect a user input entered via a touch-input device related to a single item from among the set of search results, determine a pressure exerted upon the touch-input device corresponding to the user input, and based on at least the pressure of the user input, select and execute an appropriate commerce action.

CLAIM OF PRIORITY

This application is a Continuation of U.S. application Ser. No.16/184,467, filed Nov. 8, 2018, which is a Continuation of U.S.application Ser. No. 14/799,360, filed Jul. 14, 2015, which is herebyincorporated by reference in its entirety.

TECHNICAL FIELD

Embodiments of the present disclosure relate generally to dataprocessing and, more particularly, but not by way of limitation, to aspecially configured device to receive and recognize enhanced shoppingactions.

BACKGROUND

Portable electronic devices, such as smart phones, wearable devices, andvarious other connected mobile devices have become ubiquitous. As aresult of dramatic improvements in processor speeds and capabilities, aswell as memory speed, density and other characteristics, mobile devicescontinue to decrease in size, while still increasing in functionality. Aside effect of the decreasing size of display screens has been a lack ofeffective means for receiving and enabling user interactions.

Existing solutions focus on varying and altering the content that isdisplayed by, for example, decreasing the size of graphical elements, oronly showing small portions of a displayed interface at any given time.While this solution does enable a user to access and view the entiretyof a displayed image, it fails to address the issues associated witheffectively receiving user interactions with the displayed image.

BRIEF DESCRIPTION OF THE DRAWINGS

Various ones of the appended drawings merely illustrate exampleembodiments of the present disclosure and cannot be considered aslimiting its scope.

FIG. 1 is a block diagram illustrating a networked system, according tosome example embodiments.

FIG. 2 is a block diagram illustrating components of an enhancedshopping action system suitable for providing enhanced shopping actions,according to some example embodiments.

FIG. 3 is a flowchart illustrating operations of the enhanced shoppingaction system in performing a method of selecting and executing commerceactions based on a user input, according to some example embodiments.

FIG. 4 is a flowchart illustrating operations of the enhanced shoppingaction system in performing a method determining a user interest leveluseable to select an appropriate commerce action, according to someexample embodiments.

FIG. 5 is a flowchart illustrating operations of the enhanced shoppingaction system in performing a method of selecting commerce actions basedon a user input, according to some example embodiments.

FIG. 6 is a flowchart illustrating operations of the enhanced shoppingaction system in performing a method of detecting a user input,selecting an appropriate commerce action, and executing the commerceaction, according to some example embodiments.

FIG. 7 is a diagram illustrating a graphical user interface, including aset of items available for sale, and a commerce action displayedresponsive to a received user input, according to some exampleembodiments.

FIG. 8 is a diagram illustrating a graphical user interface, including aset of items available for sale, and a commerce action displayedresponsive to a received user input, according to some exampleembodiments.

FIG. 9 is a diagram illustrating a graphical user interface, including aset of items available for sale, and a commerce action displayedresponsive to a received user input, according to some exampleembodiments.

FIG. 10 is an interaction diagram illustrating interactions between aserver and a client device in executing the operations of the enhancedshopping action system, according to some example embodiments.

FIG. 11 is a block diagram illustrating an example of a softwarearchitecture that may be installed on a machine, according to someexample embodiments.

FIG. 12 illustrates a diagrammatic representation of a machine in theform of a computer system within which a set of instructions may beexecuted for causing the machine to perform any one or more of themethodologies discussed herein, according to an example embodiment.

The headings provided herein are merely for convenience and do notnecessarily affect the scope or meaning of the terms used.

DETAILED DESCRIPTION

The description that follows includes systems, methods, techniques,instruction sequences, and computing machine program products thatembody illustrative embodiments of the disclosure. In the followingdescription, for the purposes of explanation, numerous specific detailsare set forth in order to provide an understanding of variousembodiments of the inventive subject matter. It will be evident,however, to those skilled in the art, that embodiments of the inventivesubject matter may be practiced without these specific details. Ingeneral, well-known instruction instances, protocols, structures, andtechniques are not necessarily shown in detail.

Example embodiments described herein disclose a specially configureddevice to receive and recognize enhanced user interactions (e.g.,shopping actions) through a graphical user interface. The enhancedshopping action system may be or include a group of one or more servermachines. A user device may accordingly receive and display a set ofsearch results (e.g., one or more items available for purchase), detecta user input entered via a touch-input device related to a single itemfrom among the set of search results, determine a pressure exerted uponthe touch-input device corresponding to the user input, and based on atleast the pressure of the user-input, select and execute an appropriatecommerce action. Examples merely typify possible variations. Unlessexplicitly stated otherwise, components and functions are optional andmay be combined or subdivided, and operations may vary in sequence or becombined or subdivided. In the following description, for purposes ofexplanation, numerous specific details are set forth to provide athorough understanding of example embodiments. It will be evident to oneskilled in the art, however, that the present subject matter may bepracticed without these specific details.

According to various embodiments, the enhanced user action system isconfigured to determine a user interest level of a user based on a usercontext. The user context includes a collection of information used tocharacterize a state of the user in a session. The information mayinclude, for example, a user search history (e.g., a historical searchhistory, or a session-specific search history), as well as aninteraction history (e.g., a historical interaction history, or asession-specific interaction history) of the user. The user interestlevel indicates a user's interest in particular items among a set ofitems included within a set of search results. User interest levels mayinclude a set of interest levels including, “low-interest,”“medium-interest,” “high-interest,” as well as intermediary interestlevels existing between the previously mentioned user interest levels.In practice, the user interest level indicates a user's interest in aparticular item, such as whether the user is prepared to make animmediate purchase, or if the user is researching a particular item orset of items. Additionally, the enhanced user action system may beconfigured to provide an indication of the determined user interestlevel within the graphical user interface.

Selection of the commerce action may, in some example embodiments, bebased on the determined user interest and the pressure of the userinput. The enhanced shopping action system may define a set of possiblecommerce actions based on the determined user interest level, and thenselect a commerce action from among the defined set of commerce actionsbased on the pressure of the user input. For example, the enhancedshopping action system may determine that a firm pressure combined witha high user interest level (e.g., indicating a desire to immediatelypurchase a particular item), results in a commerce action comprisingrequesting payment information from the user to immediately purchase thedesired item. Alternatively, the enhanced shopping action system maydetermine that a soft pressure results in the enhanced shopping actionsystem executing a commerce action which includes displaying additionalitem details, or adding the item to a watch list.

Commerce actions may include, but are not limited to: causing animmediate purchase of an item from among a set of items, adding an itemto a watch list or wish list, bidding on an item, or requesting userlogin credentials. In some embodiments, the enhanced shopping actionsystem may associate a threshold pressure value with each of thecommerce actions among a set of commerce actions, and select anappropriate commerce action based on the pressure of a user inputtransgressing the predefined threshold value.

With reference to FIG. 1 , an example embodiment of a high-levelclient-server-based network architecture 100 is shown. A networkedsystem 102, in the example forms of a network-based marketplace orpayment system, provides server-side functionality via a network 104(e.g., the Internet or wide area network (WAN)) to one or more clientdevices 110. FIG. 1 illustrates, for example, a web client 112 (e.g., abrowser, such as the Internet Explorer® browser developed by Microsoft®Corporation of Redmond, Wash. State), an enhanced shopping application114, and a programmatic client 116 executing on client device 110.

The client device 110 may comprise, but is not limited to, a mobilephone, desktop computer, laptop, portable digital assistants (PDAs),smart phones, tablets, ultra books, netbooks, laptops, multi-processorsystems, microprocessor-based or programmable consumer electronics, gameconsoles, set-top boxes, or any other communication device that a usermay utilize to access the networked system 102 which is configured toreceive a touch-input. In some embodiments, the client device 110 maycomprise a display module (not shown) to display information (e.g., inthe form of user interfaces). In further embodiments, the client device110 may comprise one or more of a touch screens, accelerometers,gyroscopes, cameras, microphones, global positioning system (GPS)devices, and so forth. The client device 110 may be a device of a userthat is used to perform a transaction involving digital items within thenetworked system 102. In one embodiment, the networked system 102 is anetwork-based marketplace that responds to requests for productlistings, publishes publications comprising item listings of productsavailable on the network-based marketplace, and manages payments forthese marketplace transactions. One or more users 106 may be a person, amachine, or other means of interacting with client device 110. Inembodiments, the user 106 is not part of the network architecture 100,but may interact with the network architecture 100 via the client device110 or another means. For example, one or more portions of network 104may be an ad hoc network, an intranet, an extranet, a virtual privatenetwork (VPN), a local area network (LAN), a wireless LAN (WLAN), a widearea network (WAN), a wireless WAN (WWAN), a metropolitan area network(MAN), a portion of the Internet, a portion of the Public SwitchedTelephone Network (PSTN), a cellular telephone network, a wirelessnetwork, a WiFi network, a WiMax network, another type of network, or acombination of two or more such networks.

Each client device 110 may include one or more applications (alsoreferred to as “apps”) such as, but not limited to, a web browser,messaging application, electronic mail (email) application, ane-commerce site application (also referred to as a marketplaceapplication), and the like. In some embodiments, if the e-commerce siteapplication is included in a given client device 110, then thisapplication is configured to locally provide the user interface and atleast some of the functionalities with the application configured tocommunicate with the networked system 102, on an as-needed basis, fordata and/or processing capabilities not locally available (e.g., accessto a database of items available for sale, to authenticate a user, toverify a method of payment, etc.). Conversely if the e-commerce siteapplication is not included in the client device 110, the client device110 may use its web browser to access the e-commerce site (or a variantthereof) hosted on the networked system 102.

One or more users 106 may be a person, a machine, or other means ofinteracting with the client device 110. In example embodiments, the user106 is not part of the network architecture 100, but may interact withthe network architecture 100 via the client device 110 or other means.For instance, the user 106 provides input (e.g., touch screen input oralphanumeric input) to the client device 110 and the input iscommunicated to the networked system 102 via the network 104. In thisinstance, the networked system 102, in response to receiving the inputfrom the user 106, communicates information to the client device 110 viathe network 104 to be presented to the user 106. In this way, the user106 can interact with the networked system 102 using the client device110.

An application program interface (API) server 120 and a web server 122are coupled to, and provide programmatic and web interfaces respectivelyto, one or more application servers 140. The application server(s) 140may host one or more publication systems 142 and payment systems 144,each of which may comprise one or more modules or applications and eachof which may be embodied as hardware, software, firmware, or anycombination thereof. The application server(s) 140 are, in turn, shownto be coupled to one or more database servers 124 that facilitate accessto one or more information storage repositories or database(s) 126. Inan example embodiment, the database(s) 126 are storage devices thatstore information to be posted (e.g., publications or listings) to thepublication system(s) 142. The database(s) 126 may also store digitalitem information in accordance with example embodiments.

Additionally, a third party application 132, executing on third partyserver(s) 130, is shown as having programmatic access to the networkedsystem 102 via the programmatic interface provided by the API server120. For example, the third party application 132, utilizing informationretrieved from the networked system 102, supports one or more featuresor functions on a website hosted by the third party. The third partywebsite, for example, provides one or more promotional, marketplace, orpayment functions that are supported by the relevant applications of thenetworked system 102.

The publication system(s) 142 may provide a number of publicationfunctions and services to users 106 that access the networked system102. The payment system(s) 144 may likewise provide a number offunctions to perform or facilitate payments and transactions. While thepublication system(s) 142 and payment system(s) 144 are shown in FIG. 1to both form part of the networked system 102, it will be appreciatedthat, in alternative embodiments, each system 142 and 144 may form partof a payment service that is separate and distinct from the networkedsystem 102. In some embodiments, the payment system(s) 144 may form partof the publication system(s) 142.

The enhanced shopping action system 150 may provide functionalityoperable to perform various enhanced shopping actions using the userselected data. For example, the enhanced shopping action system 150 mayaccess the user selected data from the database(s) 126, the third partyserver(s) 130, the publication system(s) 142, and other sources. In someexample embodiments, the enhanced shopping action system 150 may analyzethe user data to perform enhanced shopping actions. As more content isadded to a category by the user, the enhanced shopping action system 150can further refine the shopping actions. In some example embodiments,the enhanced shopping action system 150 may communicate with thepublication system(s) 142 (e.g., accessing item listings) and paymentsystem(s) 144. In an alternative embodiment, the enhanced shoppingaction system 150 may be a part of the publication system(s) 142.

Further, while the client-server-based network architecture 100 shown inFIG. 1 employs a client-server architecture, the present inventivesubject matter is of course not limited to such an architecture, andcould equally well find application in a distributed, or peer-to-peer,architecture system, for example. The various publication system(s) 142,payment system(s) 144, and enhanced shopping action system 150 couldalso be implemented as standalone software programs, which do notnecessarily have networking capabilities.

The web client 112 may access the various publication and paymentsystems 142 and 144 via the web interface supported by the web server122. Similarly, the programmatic client 116 accesses the variousservices and functions provided by the publication and payment systems142 and 144 via the programmatic interface provided by the API server120. The programmatic client 116 may, for example, be a sellerapplication (e.g., the Turbo Lister application developed by eBay® Inc.,of San Jose, Calif.) to enable sellers to author and manage listings onthe networked system 102 in an off-line manner, and to performbatch-mode communications between the programmatic client 116 and thenetworked system 102.

FIG. 2 is a block diagram illustrating components of the enhancedshopping action system 150 that configure the enhanced shopping actionsystem 150 to display a set of search results, detect a user inputentered via a touch-input device, determine a pressure exerted upon thetouch-input device, select a commerce action, and perform the selectedcommerce action. The enhanced shopping action system 150 is shown asincluding a search module 210, a touch-input module 220, a commerceaction module 230, a user interest module 240, and a communicationmodule 250, all configured to communicate with each other (e.g., via abus, shared memory, or a switch). Any one or more of these modules maybe implemented using one or more processors and hence may include one ormore processors (e.g., by configuring such one or more processors toperform functions described for that module).

Any of the modules discussed above may be implemented using hardwarealone (e.g., one or more processors), or a combination of hardware andsoftware. For example, any module described of the enhanced shoppingaction system 150 may physically include an arrangement of one or moreprocessors configured to perform operations described herein for thatmodule. As another example, any module of the enhanced shopping actionsystem 150 may include software, hardware, or both, that configure anarrangement of one or more processors to perform the operationsdescribed herein for that module. Accordingly, different modules of theenhanced shopping action system 150 may include and configure differentarrangements of such processors or a single arrangement of suchprocessors as different points in time. Moreover, any two or moremodules of the enhanced shopping action system 150 may be combined intoa single module, and the functions described herein for a single modulemay be subdivided among multiple modules. Furthermore, according tovarious example embodiments, modules described herein as beingimplemented within a single machine, database, or device may bedistributed across multiple machines, databases, or devices.

The search module 210 is configured to retrieve and present a set ofsearch results based on search criteria. The search criteria may includeat least one or more keywords, location information (e.g., the locationof the client device 110, or user 106), a transaction history of theuser 106, or an interaction history of the user 106. For example, thesearch module 210 may receive search criteria from the client device110, and based on the received search criteria, retrieve one or moresearch results through the network 104, and cause the search results todisplay at the client device 110.

The touch-input module 220 is configured to receive and recognize a setof pre-defined gestures entered via a touch-input device (e.g., clientdevice 110). For example, the touch-input device may include a sensorboard configured to detect a set of predefined gestures as user inputs.The predefined gestures may include touching or tapping a display of theuser device (e.g., client device 110), as well as swiping gestures. Insome embodiments, the touch-input module 220 may be configured to definegestures based on one or more user inputs received from a user device(e.g., client device 110).

The commerce action module 230 is configured to work with thetouch-input module 220 in recognizing and selecting commerce actionsfrom among a set of commerce actions, based on a user input identifiedby the touch-input module 220. The commerce action module 230 receives auser input from the touch-input module 220, and based on the receiveduser input, may select a commerce action from among a set of commerceactions. In some embodiments, the commerce action module 230 may also beconfigured to receive commerce action definitions from a user device(e.g., client device 110), and assign the commerce actions to userinputs received from the touch-input module 220.

The user interest module 240 is configured to determine a user interestlevel based on a user context. The user context includes a collection ofinformation used to characterize a state of the user in a session. Theinformation may include, for example, a user search history (e.g., ahistorical search history, or a session-specific search history), aswell as an interaction history (e.g., a historical interaction history,or a session-specific interaction history), and user profileinformation. The user interest level indicates a user's interest in oneor more items, to determine an appropriate commerce action by thecommerce action module 230.

The communication module 250 is configured to send and receiveinformation for the enhanced shopping action system 150. Thecommunication module 250 may communicate through the network 104 to theapplication server(s) 140, as well as third party server(s) 130.

FIG. 3 is a flowchart illustrating operations of the enhanced shoppingaction system in performing a method 300 of selecting and executingcommerce actions based on a user input, according to some exampleembodiments. Operations of the method 300 may be performed by themodules described above with respect to FIG. 2 . As shown in FIG. 3 ,the method 300 may include operations 310, 320, 330, 340, and 350.

In operation 310, the search module 210 retrieves and displays a set ofone or more search results at a user device (e.g., client device 110).The search results may include one or more listings of items availablefor sale within a network based marketplace. In some embodiments, thesearch results are each represented as a graphical element withcorresponding locations within a graphical user interface.

In operation 320, the touch-input module 220 receives a user inputentered into a touch-input device (e.g., client device 110). The userinput includes one or more pre-defined gestures such as, a tap, adouble-tap, or a swiping motion, which the touch-input devicerecognizes. Additionally, the touch-input module 220 is configured toreceive a location of the user input on the graphical user interface ofthe touch-input device (e.g., client device 110), as well as additionaluser input descriptors, including a duration of the user input, apressure of the user input (e.g., soft, medium, firm), a direction ofmovement of the user input, and a frequency (e.g., number of taps) ofthe user input.

In operation 330, the touch-input module 220 determines the pressure ofthe user input. In some embodiments, the touch-input module 220 may alsodetermine additional user input descriptors, as discussed above. Theuser input identifies an item from among the set of search resultsdisplayed, based on the location of the user input on the graphical userinterface of the touch-input device (e.g., client device 110).

In operation 340, the commerce action module 230 determines anappropriate commerce action from among a set of commerce actions basedon at least the pressure of the user input. The commerce action mayinclude a purchase of a particular item from among the search results,adding a particular item to a watch list, bidding on an item, orrequesting user login credentials.

In operation 350, having determined an appropriate commerce action basedon a pressure of a received user input, the commerce action module 230may communicate the commerce action to the communication module 250 inorder to execute the selected commerce action. The communication module250 may then transmit a request from a user device (e.g., the clientdevice 110) to the enhanced shopping action system 150, which can thenexecute the commerce action.

FIG. 4 is a flowchart illustrating additional operations which may beincluded in performing the method 300, as discussed in FIG. 3 .Operations 410 and 420 may be performed as a precursor, sub-routine, oras a part of method 300. As illustrated in FIG. 4 , in some exampleembodiments, operations 410 and 420 may occur after operation 320.

In operation 410, the user interest module 240 determines a user contextbased on information including at least a search history and aninteraction history of the user. As discussed above, the user contextdescribes a state of the user in a session. The user context may simplycomprise a collection of all the user's interactions in current or pastbrowsing sessions, as well as a user's transaction history, search queryhistory, and user profile information. To determine the user context,the user interest module 240 accesses one or more databases (e.g.,databases 126), third party servers 130, as well as the client device110, in order to collect the user interaction data, the user transactionhistory, the search query history, as well as the user profileinformation.

In some example embodiments, the interaction history includes categorieswhich the user typically purchases from, as well as a price range ofitems which the user regularly purchases. For example, the user interestmodule 240 may determine that a particular user frequently purchasesitems from a particular category (e.g., electronics, men's shoes,automotive), and that the user would therefore be more likely topurchase items from those categories again, as opposed to a categorywhich the user infrequently purchases from. The user context wouldtherefore indicate a greater interest in purchasing items fromcategories frequently purchased from.

The user interest module 240 may also calculate a price range of theuser's regular purchases and determine that the user is most likely tomake frequent purchases within the calculated price range. For example,the user interest module 240 may determine that the user has a higheruser interest for items within the determined price range, with the userinterest decreasing as the price exceeds the price range.

In operation 420, the user interest module 240 determines a userinterest level based on at least the user context information associatedwith the particular user. For example, the user interest module 240 maydetermine, based on the collected user context information (e.g.,indicating that the user has purchased an item in monthly intervals, orhas search for and viewed the item in one or more instances over aperiod of time), that a particular user intends to immediately purchasea particular item from among a set of search results, or instead, thatthe user only wishes to view more information about the item from amongthe search results.

For example, the user context information may indicate that a userregularly purchases a particular item in monthly intervals.Additionally, the user context information may indicate that the userhas conducted several search requests for the item in the last few days.Based on the user context information, the user interest module 240 maymake a determination that the user interest level is high, and that theuser intends to purchase the item once they have located a suitableoption. Alternatively, assume that a particular user has conducted tensearch requests within the period of an afternoon for similar, but notidentical, items. Based on this user context information, the userinterest module 240 may make a determination that the user interestlevel is low, and that the user may only wish to do further research.

Having determined a user interest level, based on the user contextinformation, the user interest module 240 transmits the determined userinterest level to the commerce action module 230. At operation 345 thecommerce action module 230 selects an appropriate commerce action fromamong a set of commerce actions, based on a determined pressure (e.g.,as discussed with respect to method 300), as well as a determined userinterest level. In some example embodiments, the commerce action module230 selects a set of commerce actions based on the user interest level(e.g., high user interest, low user interest), and then selects anappropriate commerce action from among the set of commerce actions basedon the determined pressure of the user input. For example, each userinterest level may have an associated set of commerce actions which maybe selected based on the determined pressure.

In further embodiments, the user (e.g., user 106) defines one or moregesture to result in a particular commerce action. For example, the usermay indicate that a firm pressure combined with a high user interestlevel should result in an immediate purchase of a selected item, while afirm pressure combined with a low level of interest should simply addthe item to a watch list.

In FIG. 5 , one or more operations 510, 520, and 525 may be performed aspart (e.g., a precursor task, a subroutine, or portion) of operation 340of the method 300, in which the commerce action module 230 selects acommerce action based on a pressure of a received user input, accordingto some example embodiments.

Operation 510 may be performed by the touch-input module 220 and thecommerce action module 230. In some embodiments, the commerce actionmodule 230 selects a commerce action from among a set of commerceactions, at least in part, based on the pressure of a received userinput. For example, each commerce action includes a correspondingpressure such that a first pressure (e.g., a firm pressure) results in afirst commerce action, while a second pressure (e.g., a light pressure)results in a second commerce action. Thus, the commerce action module230 receives a pressure of the user input in order to select anappropriate commerce action. Having detected the occurrence of a userinput (e.g., touch, tap, or swipe) the touch-input module 220 determineswhether a pressure corresponding to the user input transgresses apredefined threshold.

The commerce action module 230 associates a pressure of a user inputwith a particular commerce action, based on preconfigured settings, orbased on user provided definitions. At operations 520 and 525, thecommerce action module 230 selects a commerce action based on thepressure determined by the touch-input module 220 transgressing one ormore threshold values. At operation 520, having determined that thepressure of the user input transgresses a first predefined thresholdvalue, the commerce action module 230 selects a first commerce action.Alternatively, at operation 525, the touch-input module 220 determinesthat the user input transgresses a second predefined threshold value,and the commerce action module 230 selects a second commerce action.

FIG. 6 is a flowchart illustrating operations of the enhanced shoppingaction system in performing a method 600 of detecting a user input,selecting an appropriate commerce action, and executing the commerceaction, according to some example embodiments. Operations of the method600 may be performed by the modules described above with respect to FIG.2 . As shown in FIG. 6 , the method 600 may include operations 620, 630,640, 650, and 660. One or more operations 620, 630, 640, 650, and 660may be performed as part (e.g., a precursor task, a subroutine, orportion) of the method 300, according to some example embodiments.

In operation 620, the touch-input module 220 detects a first contact ofa user input received at a user device (e.g., client device 110). Thefirst contact of the user input includes a corresponding location andpressure, and each search result among a set of search results displayedhas a corresponding display location within the graphical user interfaceof the user device.

In operation 630 the touch-input module 220 determines the pressure andlocation of the first contact. The location of the first contactidentifies a specific search result from among a set of search resultsdisplayed at the user device (e.g., client device 110). The pressure ofthe first contact determines a desired commerce action to be executed onthe selected search result from among the set of search results. Thetouch-input module 220 provides the location and pressure information tothe commerce action module 230 in order to determine an appropriatecommerce action to be carried out on a specific search result from amonga set of search results.

In operation 640, the user interest module 240 determines a userinterest level of an identified user. The user may be identified basedon user login credentials (e.g., provided by the user), or byassociating a particular user with a specific user device (e.g., user106 may be associated with client device 110), or location (e.g., basedon global positioning system coordinates). The user interest level ofthe identified user indicates an interest level in a particular item, oritems, among the set of search results. For example, a high userinterest level for a first item indicates an interest to immediatelypurchase the item, while a low user interest level for the first itemindicates an interest for further details and item information. The userinterest module 240 determines the user interest level based on a usercontext. The user context includes at least user profile information,user login status, a user interaction history, a user transactionhistory, and past search queries.

In operation 650, the commerce action module 230 determines anappropriate commerce action from among a set of commerce actions, basedon at least the determined pressure and location of the first contact,and the user interest level (e.g., high interest, medium interest, lowinterest, etc.). For example, each commerce action within the set ofcommerce action may have an associated combination of interest level andpressure which the commerce action module 230 may use to determine theappropriate commerce action to execute. In some example embodiments, theset of commerce actions may vary based on the determined user interestlevel. The commerce action module 230 is configured to determine a setof commerce actions based on the user interest level, and to select acommerce action from among the determined set of commerce actions basedon the pressure of the user input. For example, a high user interestlevel in a particular item results in the commerce action module 230selecting a commerce action from a first set of commerce actions, whilea low user interest level results in a selection of a commerce actionfrom among a second set of commerce actions.

As stated above, the set of commerce actions may vary based on thedetermined user interest level, and may include an immediate purchase ofan identified item, adding an item to a watch list, bidding on an item,requesting user login credentials, and viewing item details. In someembodiments, the commerce action module 230 compiles a set of commerceactions based on the determined user interest level, and selects anappropriate commerce action from the set of commerce actions based onthe pressure of the user input.

In operation 660, the commerce action module 230 selects a commerceaction from among a set of commerce actions, based on at least thepressure of the user input. For example, each commerce action among theset of commerce actions may define a threshold pressure value such thata transgression of the threshold value by the first contact of the userinput indicates a selection of the corresponding commerce action. Havingselected a commerce action from among the set of commerce actions, atoperation 350, after detecting a release of the user input, the commerceaction module 230 executes the selected commerce action.

FIG. 7 is a diagram of a graphical user interface 700 to display a setof search results 710 on a user device (e.g., client device 110). Thegraphical user interface 700 includes a set of commerce actions 720based on a determined user interest level, and as indicated by the userinterest level indicator 735 (e.g., a high user interest). The set ofcommerce actions 720 are displayed responsive to a user input 730. Insome embodiments, the set of commerce actions 720 are dynamic, andchange based on the pressure of the user input (e.g., user input 730)and the user interest level. The user input 730 includes an associatedpressure and location. The location of the user input 730 is at aposition in the graphical user interface 700 associated with a searchresult 715. Based on the location and pressure of the user input 730,and the user interest level (e.g., as indicated by user interest levelindicator 735), the enhanced shopping action system 150 selects acommerce action 725 from among the set of commerce actions 720. Becausethe user input 730 is a firm pressure, and the user interest level isindicated by the user interest indicator 735 as being a high interest,the enhanced shopping action system 150 selects the commerce action 725to immediately purchase the item. Alternatively, a less interested user(as determined based on the pressure of the user input and user interestlevel) may be presented with a set of commerce actions corresponding tothe determined user interest level and pressure of the user input. Inother embodiments, the commerce action (e.g., commerce action 725) isselected from among the set of commerce actions (e.g., the set ofcommerce action 720), and is executed automatically based on thedetermined pressure of the user input (e.g., user input 730) and userinterest level.

FIG. 8 is a diagram of the graphical user interface 700 to display a setof search results 710 on a user device (e.g., client device 110). Insome embodiments, the set of search results 710 may be displayed as aset of graphical elements (e.g., thumbnail images, icons) with no iteminformation displayed, wherein the item information is displayedresponsive to a received user input. The graphical user interface 700includes an executed commerce action 810, and a user interest indicator830. The commerce action 810 is executed responsive to the user input820. The user input 820 includes an associated pressure (e.g., softpressure) and location within the graphical user interface 700.Responsive to receiving the user input 820, determining that the userinput 820 is a soft pressure input, and the user interest level beingindicated by the user interest indicator 830 as high, the enhancedshopping action system 150 selects and executes commerce action 810 tocause display of additional item details. Thus, even though FIG. 7indicated a high level of user interest, as is also shown in FIG. 8 ,the enhanced shopping action system 150 selects and executes a distinctcommerce action to display additional item details (e.g., commerceaction 810) based on the pressure exerted by the user input 820.

FIG. 9 is a diagram of the graphical user interface 700 to display a setof search results 710 on a user device (e.g., client device 110). Thegraphical user interface 700 includes an executed commerce action 910,and a user interest indicator 930. The user interest indicator 930indicates a low level of user interest, and the user input 920 is a softpressure input. Based on the user interest level and the pressure of theuser input 920, the enhanced shopping action system 150 selects andexecutes commerce action 910, requesting login credentials of the user.Thus, even though the pressure of the user input 920 and the pressure ofthe user input 820 are equivalent, the commerce action (e.g., commerceaction 910) selected and executed by the enhanced shopping action system150 is distinct due to a change in user interest level, as indicated bythe user interest indicator 930.

FIG. 10 is an interaction diagram illustrating interactions between theenhanced shopping action system 150, located at the applicationserver(s) 140, and the enhanced shopping application 114, located at aclient device 110, according to some example embodiments. At operation1010, the enhanced shopping action system 150 determines a user interestbased on a user context, as discussed with respect to operations 410 and420 of FIG. 4 . The user context includes at least user profileinformation, a user transaction history, a user interaction history, anduser search queries. The enhanced shopping action system 150 generates auser interest configuration based on the determined user interest levelat operation 1020, and transmits the user interest configuration to theclient device 110 at operation 1030.

At operation 1040, the enhanced shopping application 114 receives theuser interest configuration at the client device 110. Based on the userinterest configuration, at operation 1050, the enhanced shoppingapplication 114 selects an appropriate commerce action (e.g., as inoperation 345 of FIGS. 3 and 4 ), and at operation 1060, transmits acommerce action request to the enhanced shopping action system 150. Atoperation 1070, after receiving the commerce action request from theenhanced shopping application 114, the enhanced shopping action system150 executes the commerce action.

Modules, Components, and Logic

Certain embodiments are described herein as including logic or a numberof components, modules, or mechanisms. Modules may constitute eithersoftware modules (e.g., code embodied on a machine-readable medium) orhardware modules. A “hardware module” is a tangible unit capable ofperforming certain operations and may be configured or arranged in acertain physical manner. In various example embodiments, one or morecomputer systems (e.g., a standalone computer system, a client computersystem, or a server computer system) or one or more hardware modules ofa computer system (e.g., a processor or a group of processors) may beconfigured by software (e.g., an application or application portion) asa hardware module that operates to perform certain operations asdescribed herein.

In some embodiments, a hardware module may be implemented mechanically,electronically, or any suitable combination thereof. For example, ahardware module may include dedicated circuitry or logic that ispermanently configured to perform certain operations. For example, ahardware module may be a special-purpose processor, such as aField-Programmable Gate Array (FPGA) or an Application SpecificIntegrated Circuit (ASIC). A hardware module may also includeprogrammable logic or circuitry that is temporarily configured bysoftware to perform certain operations. For example, a hardware modulemay include software executed by a general-purpose processor or otherprogrammable processor. Once configured by such software, hardwaremodules become specific machines (or specific components of a machine)uniquely tailored to perform the configured functions and are no longergeneral-purpose processors. It will be appreciated that the decision toimplement a hardware module mechanically, in dedicated and permanentlyconfigured circuitry, or in temporarily configured circuitry (e.g.,configured by software) may be driven by cost and time considerations.

Accordingly, the phrase “hardware module” should be understood toencompass a tangible entity, be that an entity that is physicallyconstructed, permanently configured (e.g., hardwired), or temporarilyconfigured (e.g., programmed) to operate in a certain manner or toperform certain operations described herein. As used herein,“hardware-implemented module” refers to a hardware module. Consideringembodiments in which hardware modules are temporarily configured (e.g.,programmed), each of the hardware modules need not be configured orinstantiated at any one instance in time. For example, where a hardwaremodule comprises a general-purpose processor configured by software tobecome a special-purpose processor, the general-purpose processor may beconfigured as respectively different special-purpose processors (e.g.,comprising different hardware modules) at different times. Softwareaccordingly configures a particular processor or processors, forexample, to constitute a particular hardware module at one instance oftime and to constitute a different hardware module at a differentinstance of time.

Hardware modules can provide information to, and receive informationfrom, other hardware modules. Accordingly, the described hardwaremodules may be regarded as being communicatively coupled. Where multiplehardware modules exist contemporaneously, communications may be achievedthrough signal transmission (e.g., over appropriate circuits and buses)between or among two or more of the hardware modules. In embodiments inwhich multiple hardware modules are configured or instantiated atdifferent times, communications between such hardware modules may beachieved, for example, through the storage and retrieval of informationin memory structures to which the multiple hardware modules have access.For example, one hardware module may perform an operation and store theoutput of that operation in a memory device to which it iscommunicatively coupled. A further hardware module may then, at a latertime, access the memory device to retrieve and process the storedoutput. Hardware modules may also initiate communications with input oroutput devices, and can operate on a resource (e.g., a collection ofinformation).

The various operations of example methods described herein may beperformed, at least partially, by one or more processors that aretemporarily configured (e.g., by software) or permanently configured toperform the relevant operations. Whether temporarily or permanentlyconfigured, such processors may constitute processor-implemented modulesthat operate to perform one or more operations or functions describedherein. As used herein, “processor-implemented module” refers to ahardware module implemented using one or more processors.

Similarly, the methods described herein may be at least partiallyprocessor-implemented, with a particular processor or processors beingan example of hardware. For example, at least some of the operations ofa method may be performed by one or more processors orprocessor-implemented modules. Moreover, the one or more processors mayalso operate to support performance of the relevant operations in a“cloud computing” environment or as a “software as a service” (SaaS).For example, at least some of the operations may be performed by a groupof computers (as examples of machines including processors), with theseoperations being accessible via a network (e.g., the Internet) and viaone or more appropriate interfaces (e.g., an Application ProgramInterface (API)).

The performance of certain of the operations may be distributed amongthe processors, not only residing within a single machine, but deployedacross a number of machines. In some example embodiments, the processorsor processor-implemented modules may be located in a single geographiclocation (e.g., within a home environment, an office environment, or aserver farm). In other example embodiments, the processors orprocessor-implemented modules may be distributed across a number ofgeographic locations.

Machine and Software Architecture

The modules, methods, applications and so forth described in conjunctionwith FIG. 2 are implemented in some embodiments in the context of amachine and an associated software architecture. The sections belowdescribe representative software architecture(s) and machine (e.g.,hardware) architecture that are suitable for use with the disclosedembodiments.

Software architectures are used in conjunction with hardwarearchitectures to create devices and machines tailored to particularpurposes. For example, a particular hardware architecture coupled with aparticular software architecture will create a mobile device, such as amobile phone, tablet device, or so forth. A slightly different hardwareand software architecture may yield a smart device for use in the“internet of things,” while yet another combination produces a servercomputer for use within a cloud computing architecture. Not allcombinations of such software and hardware architectures are presentedhere as those of skill in the art can readily understand how toimplement the inventive subject matter in different contexts from thedisclosure contained herein.

Software Architecture

FIG. 11 is a block diagram 1100 illustrating a representative softwarearchitecture 1102, which may be used in conjunction with varioushardware architectures herein described. FIG. 11 is merely anon-limiting example of a software architecture and it will beappreciated that many other architectures may be implemented tofacilitate the functionality described herein. The software architecture1102 may be executing on hardware such as machine 1200 of FIG. 12 thatincludes, among other things, processors 1210, memory/storage 1230, andI/O components 1250. A representative hardware layer 1104 is illustratedand can represent, for example, the machine 1200 of FIG. 12 . Therepresentative hardware layer 1104 comprises one or more processingunits 1106 having associated executable instructions 1108. Executableinstructions 1108 represent the executable instructions of the softwarearchitecture 1102, including implementation of the methods, modules andso forth of FIGS. 2-5 . Hardware layer 1104 also includes memory and/orstorage modules 1110, which also have executable instructions 1108.Hardware layer 1104 may also comprise other hardware 1112 whichrepresents any other hardware of the hardware layer 1104, such as theother hardware illustrated as part of machine 1200.

In the example architecture of FIG. 11 , the software architecture 1102may be conceptualized as a stack of layers where each layer providesparticular functionality. For example, the software architecture 1102may include layers such as an operating system 1114, libraries 1116,applications 1120 and presentation layer 1144. Operationally, theapplications 1120 and/or other components within the layers may invokeapplication programming interface (API) calls 1124 through the softwarestack and receive a response, returned values, and so forth illustratedas messages 1126 in response to the API calls 1124. The layersillustrated are representative in nature and not all softwarearchitectures have all layers.

The operating system 1114 may manage hardware resources and providecommon services. The operating system 1114 may include, for example, akernel 1128, services 1130, and drivers 1132. The kernel 1128 may act asan abstraction layer between the hardware and the other software layers.For example, the kernel 1128 may be responsible for memory management,processor management (e.g., scheduling), component management,networking, security settings, and so on. The services 1130 may provideother common services for the other software layers. The drivers 1132may be responsible for controlling or interfacing with the underlyinghardware. For instance, the drivers 1132 may include display drivers,camera drivers, Bluetooth® drivers, flash memory drivers, serialcommunication drivers (e.g., Universal Serial Bus (USB) drivers), Wi-Fi®drivers, audio drivers, power management drivers, and so forth dependingon the hardware configuration.

The libraries 1116 may provide a common infrastructure that may beutilized by the applications 1120 and/or other components and/or layers.The libraries 1116 typically provide functionality that allows othersoftware modules to perform tasks in an easier fashion than to interfacedirectly with the underlying operating system 1114 functionality (e.g.,kernel 1128, services 1130 and/or drivers 1132). The libraries 1116 mayinclude system libraries 1134 (e.g., C standard library) that mayprovide functions such as memory allocation functions, stringmanipulation functions, mathematic functions, and the like. In addition,the libraries 1116 may include API libraries 1136 such as medialibraries (e.g., libraries to support presentation and manipulation ofvarious media format such as MPREG4, H.264, MP3, AAC, AMR, JPG, PNG),graphics libraries (e.g., an OpenGL framework that may be used to render2D and 3D in a graphic content on a display), database libraries (e.g.,SQLite that may provide various relational database functions), weblibraries (e.g., WebKit that may provide web browsing functionality),and the like. The libraries 1116 may also include a wide variety ofother libraries 1138 to provide many other APIs to the applications 1120and other software components/modules.

The applications 1120 includes built-in applications 1140 and/orthird-party applications 1142. Examples of representative built-inapplications 1140 may include, but are not limited to, a contactsapplication, a browser application, a book reader application, alocation application, a media application, a messaging application,and/or a game application. Third-party applications 1142 may include anyof the built-in applications 1140 as well as a broad assortment of otherapplications. In a specific example, the third-party application 1142(e.g., an application developed using the Android™ or iOS™ softwaredevelopment kit (SDK) by an entity other than the vendor of theparticular platform) may be mobile software running on a mobileoperating system such as iOS™, Android™, Windows® Phone, or other mobileoperating systems. In this example, the third-party application 1142 mayinvoke the API calls 1124 provided by the mobile operating system suchas operating system 1114 to facilitate functionality described herein.

The applications 1120 may utilize built-in operating system functions(e.g., kernel 1128, services 1130 and/or drivers 1132), libraries (e.g.,system 1134, API libraries 1136, and other libraries 1138), to createuser interfaces to interact with users of the enhanced shopping actionsystem 150. Alternatively, or additionally, in some systems interactionswith a user may occur through a presentation layer, such as presentationlayer 1144. In these systems, the application/module “logic” can beseparated from the aspects of the application/module that interact witha user.

Some software architectures utilize virtual machines. In the example ofFIG. 11 , this is illustrated by virtual machine 1148. A virtual machinecreates a software environment where applications/modules can execute asif they were executing on a hardware machine (such as the machine ofFIG. 12 , for example). A virtual machine is hosted by a host operatingsystem (operating system 1114 in FIG. 11 ) and typically, although notalways, has a virtual machine monitor 1146, which manages the operationof the virtual machine 1148 as well as the interface with the hostoperating system (i.e., operating system 1114). A software architectureexecutes within the virtual machine 1148 such as an operating system1150, libraries 1152, frameworks/middleware 1154, applications 1156and/or presentation layer 1158. These layers of software architectureexecuting within the virtual machine 1148 can be the same ascorresponding layers previously described or may be different.

Example Machine Architecture and Machine-Readable Medium

FIG. 12 is a block diagram illustrating components of a machine 1200,according to some example embodiments, able to read instructions from amachine-readable medium (e.g., a machine-readable storage medium) andperform any one or more of the methodologies discussed herein.Specifically, FIG. 12 shows a diagrammatic representation of the machine1200 in the example form of a computer system, within which instructions1216 (e.g., software, a program, an application, an applet, an app, orother executable code) for causing the machine 1200 to perform any oneor more of the methodologies discussed herein may be executed. Forexample the instructions 1216 may cause the machine to execute the flowdiagrams of FIGS. 3-6 . Additionally, or alternatively, the instructions1216 may implement the modules of FIG. 2 , and so forth. Theinstructions 1216 transform a general, non-programmed machine into aparticular machine programmed to carry out the described and illustratedfunctions in the manner described. In alternative embodiments, themachine 1200 operates as a standalone device or may be coupled (e.g.,networked) to other machines. In a networked deployment, the machine1200 may operate in the capacity of a server machine or a client machinein a server-client network environment, or as a peer machine in apeer-to-peer (or distributed) network environment. The machine 1200 maycomprise, but not be limited to, a server computer, a client computer, apersonal computer (PC), a tablet computer, a laptop computer, a netbook,a set-top box (STB), a personal digital assistant (PDA), anentertainment media system, a cellular telephone, a smart phone, amobile device, a wearable device (e.g., a smart watch), a smart homedevice (e.g., a smart appliance), other smart devices, a web appliance,a network router, a network switch, a network bridge, or any machinecapable of executing the instructions 1216, sequentially or otherwise,that specify actions to be taken by machine 1200. Further, while only asingle machine 1200 is illustrated, the term “machine” shall also betaken to include a collection of machines 1200 that individually orjointly execute the instructions 1216 to perform any one or more of themethodologies discussed herein.

The machine 1200 may include processors 1210, memory/storage 1230, andI/O components 1250, which may be configured to communicate with eachother such as via a bus 1202. In an example embodiment, the processors1210 (e.g., a Central Processing Unit (CPU), a Reduced Instruction SetComputing (RISC) processor, a Complex Instruction Set Computing (CISC)processor, a Graphics Processing Unit (GPU), a Digital Signal Processor(DSP), an Application Specific Integrated Circuit (ASIC), aRadio-Frequency Integrated Circuit (RFIC), another processor, or anysuitable combination thereof) may include, for example, processor 1212and processor 1214 that may execute instructions 1216. The term“processor” is intended to include multi-core processor that maycomprise two or more independent processors (sometimes referred to as“cores”) that may execute instructions contemporaneously. Although FIG.12 shows multiple processors 1210, the machine 1200 may include a singleprocessor with a single core, a single processor with multiple cores(e.g., a multi-core process), multiple processors with a single core,multiple processors with multiples cores, or any combination thereof.

The memory/storage 1230 may include a memory 1232, such as a mainmemory, or other memory storage, and a storage unit 1236, bothaccessible to the processors 1210 such as via the bus 1202. The storageunit 1236 and memory 1232 store the instructions 1216 embodying any oneor more of the methodologies or functions described herein. Theinstructions 1216 may also reside, completely or partially, within thememory 1232, within the storage unit 1236, within at least one of theprocessors 1210 (e.g., within the processor's cache memory), or anysuitable combination thereof, during execution thereof by the machine1200. Accordingly, the memory 1232, the storage unit 1236, and thememory of processors 1210 are examples of machine-readable media.

As used herein, “machine-readable medium” means a device able to storeinstructions and data temporarily or permanently and may include, but isnot be limited to, random-access memory (RAM), read-only memory (ROM),buffer memory, flash memory, optical media, magnetic media, cachememory, other types of storage (e.g., Erasable Programmable Read-OnlyMemory (EEPROM)) and/or any suitable combination thereof. The term“machine-readable medium” should be taken to include a single medium ormultiple media (e.g., a centralized or distributed database, orassociated caches and servers) able to store instructions 1216. The term“machine-readable medium” shall also be taken to include any medium, orcombination of multiple media, that is capable of storing instructions(e.g., instructions 1216) for execution by a machine (e.g., machine1200), such that the instructions, when executed by one or moreprocessors of the machine 1200 (e.g., processors 1210), cause themachine 1200 to perform any one or more of the methodologies describedherein. Accordingly, a “machine-readable medium” refers to a singlestorage apparatus or device, as well as “cloud-based” storage systems orstorage networks that include multiple storage apparatus or devices. Theterm “machine-readable medium” excludes signals per se.

The I/O components 1250 may include a wide variety of components toreceive input, provide output, produce output, transmit information,exchange information, capture measurements, and so on. The specific I/Ocomponents 1250 that are included in a particular machine will depend onthe type of machine. For example, portable machines such as mobilephones will likely include a touch input device or other such inputmechanisms, while a headless server machine will likely not include sucha touch input device. It will be appreciated that the I/O components1250 may include many other components that are not shown in FIG. 12 .The I/O components 1250 are grouped according to functionality merelyfor simplifying the following discussion and the grouping is in no waylimiting. In various example embodiments, the I/O components 1250 mayinclude output components 1252 and input components 1254. The outputcomponents 1252 may include visual components (e.g., a display such as aplasma display panel (PDP), a light emitting diode (LED) display, aliquid crystal display (LCD), a projector, or a cathode ray tube (CRT)),acoustic components (e.g., speakers), haptic components (e.g., avibratory motor, resistance mechanisms), other signal generators, and soforth. The input components 1254 may include alphanumeric inputcomponents (e.g., a keyboard, a touch screen configured to receivealphanumeric input, a photo-optical keyboard, or other alphanumericinput components), point based input components (e.g., a mouse, atouchpad, a trackball, a joystick, a motion sensor, or other pointinginstrument), tactile input components (e.g., a physical button, a touchscreen that provides location and/or force of touches or touch gestures,or other tactile input components), audio input components (e.g., amicrophone), and the like.

In further example embodiments, the I/O components 1250 may includebiometric components 1256, motion components 1258, environmentalcomponents 1260, or position components 1262 among a wide array of othercomponents. For example, the biometric components 1256 may includecomponents to detect expressions (e.g., hand expressions, facialexpressions, vocal expressions, body gestures, or eye tracking), measurebiosignals (e.g., blood pressure, heart rate, body temperature,perspiration, or brain waves), identify a person (e.g., voiceidentification, retinal identification, facial identification,fingerprint identification, or electroencephalogram basedidentification), and the like. The motion components 1258 may includeacceleration sensor components (e.g., accelerometer), gravitation sensorcomponents, rotation sensor components (e.g., gyroscope), and so forth.The environmental components 1260 may include, for example, illuminationsensor components (e.g., photometer), temperature sensor components(e.g., one or more thermometer that detect ambient temperature),humidity sensor components, pressure sensor components (e.g.,barometer), acoustic sensor components (e.g., one or more microphonesthat detect background noise), proximity sensor components (e.g.,infrared sensors that detect nearby objects), gas sensors (e.g., gasdetection sensors to detection concentrations of hazardous gases forsafety or to measure pollutants in the atmosphere), or other componentsthat may provide indications, measurements, or signals corresponding toa surrounding physical environment. The position components 1262 mayinclude location sensor components (e.g., a Global Position System (GPS)receiver component), altitude sensor components (e.g., altimeters orbarometers that detect air pressure from which altitude may be derived),orientation sensor components (e.g., magnetometers), and the like.

Communication may be implemented using a wide variety of technologies.The I/O components 1250 may include communication components 1264operable to couple the machine 1200 to a network 1280 or devices 1270via coupling 1282 and coupling 1272 respectively. For example, thecommunication components 1264 may include a network interface componentor other suitable device to interface with the network 1280. In furtherexamples, communication components 1264 may include wired communicationcomponents, wireless communication components, cellular communicationcomponents, Near Field Communication (NFC) components, Bluetooth®components (e.g., Bluetooth® Low Energy), Wi-Fi® components, and othercommunication components to provide communication via other modalities.The devices 1270 may be another machine or any of a wide variety ofperipheral devices (e.g., a peripheral device coupled via a UniversalSerial Bus (USB)).

Moreover, the communication components 1264 may detect identifiers orinclude components operable to detect identifiers. For example, thecommunication components 1264 may include Radio Frequency Identification(RFID) tag reader components, NFC smart tag detection components,optical reader components (e.g., an optical sensor to detectone-dimensional bar codes such as Universal Product Code (UPC) bar code,multi-dimensional bar codes such as Quick Response (QR) code, Azteccode, Data Matrix, Dataglyph, MaxiCode, PDF417, Ultra Code, UCC RSS-2Dbar code, and other optical codes), or acoustic detection components(e.g., microphones to identify tagged audio signals). In addition, avariety of information may be derived via the communication components1264, such as location via Internet Protocol (IP) geo-location, locationvia Wi-Fi® signal triangulation, location via detecting an NFC beaconsignal that may indicate a particular location, and so forth.

Transmission Medium

In various example embodiments, one or more portions of the network 1280may be an ad hoc network, an intranet, an extranet, a virtual privatenetwork (VPN), a local area network (LAN), a wireless LAN (WLAN), a widearea network (WAN), a wireless WAN (WWAN), a metropolitan area network(MAN), the Internet, a portion of the Internet, a portion of the PublicSwitched Telephone Network (PSTN), a plain old telephone service (POTS)network, a cellular telephone network, a wireless network, a Wi-Fi®network, another type of network, or a combination of two or more suchnetworks. For example, the network 1280 or a portion of the network 1280may include a wireless or cellular network and the coupling 1282 may bea Code Division Multiple Access (CDMA) connection, a Global System forMobile communications (GSM) connection, or other type of cellular orwireless coupling. In this example, the coupling 1282 may implement anyof a variety of types of data transfer technology, such as SingleCarrier Radio Transmission Technology (1×RTT), Evolution-Data Optimized(EVDO) technology, General Packet Radio Service (GPRS) technology,Enhanced Data rates for GSM Evolution (EDGE) technology, thirdGeneration Partnership Project (3GPP) including 3G, fourth generationwireless (4G) networks, Universal Mobile Telecommunications System(UMTS), High Speed Packet Access (HSPA), Worldwide Interoperability forMicrowave Access (WiMAX), Long Term Evolution (LTE) standard, othersdefined by various standard setting organizations, other long rangeprotocols, or other data transfer technology.

The instructions 1216 may be transmitted or received over the network1280 using a transmission medium via a network interface device (e.g., anetwork interface component included in the communication components1264) and utilizing any one of a number of well-known transfer protocols(e.g., hypertext transfer protocol (HTTP)). Similarly, the instructions1216 may be transmitted or received using a transmission medium via thecoupling 1272 (e.g., a peer-to-peer coupling) to devices 1270. The term“transmission medium” shall be taken to include any intangible mediumthat is capable of storing, encoding, or carrying instructions 1216 forexecution by the machine 1200, and includes digital or analogcommunications signals or other intangible medium to facilitatecommunication of such software.

Language

Throughout this specification, plural instances may implementcomponents, operations, or structures described as a single instance.Although individual operations of one or more methods are illustratedand described as separate operations, one or more of the individualoperations may be performed concurrently, and nothing requires that theoperations be performed in the order illustrated. Structures andfunctionality presented as separate components in example configurationsmay be implemented as a combined structure or component. Similarly,structures and functionality presented as a single component may beimplemented as separate components. These and other variations,modifications, additions, and improvements fall within the scope of thesubject matter herein.

Although an overview of the inventive subject matter has been describedwith reference to specific example embodiments, various modificationsand changes may be made to these embodiments without departing from thebroader scope of embodiments of the present disclosure. Such embodimentsof the inventive subject matter may be referred to herein, individuallyor collectively, by the term “invention” merely for convenience andwithout intending to voluntarily limit the scope of this application toany single disclosure or inventive concept if more than one is, in fact,disclosed.

The embodiments illustrated herein are described in sufficient detail toenable those skilled in the art to practice the teachings disclosed.Other embodiments may be used and derived therefrom, such thatstructural and logical substitutions and changes may be made withoutdeparting from the scope of this disclosure. The Detailed Description,therefore, is not to be taken in a limiting sense, and the scope ofvarious embodiments is defined only by the appended claims, along withthe full range of equivalents to which such claims are entitled.

As used herein, the term “or” may be construed in either an inclusive orexclusive sense. Moreover, plural instances may be provided forresources, operations, or structures described herein as a singleinstance. Additionally, boundaries between various resources,operations, modules, engines, and data stores are somewhat arbitrary,and particular operations are illustrated in a context of specificillustrative configurations. Other allocations of functionality areenvisioned and may fall within a scope of various embodiments of thepresent disclosure. In general, structures and functionality presentedas separate resources in the example configurations may be implementedas a combined structure or resource. Similarly, structures andfunctionality presented as a single resource may be implemented asseparate resources. These and other variations, modifications,additions, and improvements fall within a scope of embodiments of thepresent disclosure as represented by the appended claims. Thespecification and drawings are, accordingly, to be regarded in anillustrative rather than a restrictive sense.

The invention claimed is:
 1. A computer-implemented method comprising:displaying a plurality of items in a graphical user interface at aclient device; receiving user input from a user to select an item of theplurality of items; determining an input pressure of the user input toselect the item; determining an interest level of the user in the itembased at least in part on user context data associated with the user;selecting an action associated with the selected item based on both theinput pressure and the interest level of the user in the item; andinitiating the selected action.
 2. The computer-implemented method asdescribed in claim 1, wherein the initiating the action furthercomprises initiating a first action if the input pressure corresponds toa first pressure and initiating a second action if the input pressurecorresponds to a second pressure.
 3. The computer-implemented method asdescribed in claim 2, wherein the first pressure is above a pressurethreshold value and the second pressure is below the pressure thresholdvalue.
 4. The computer-implemented method as described in claim 2,wherein the first pressure comprises firm pressure and the secondpressure comprises light pressure.
 5. The computer-implemented method asdescribed in claim 1, wherein the initiating the action furthercomprises initiating a first action if the interest level corresponds toa first interest level and initiating a second action if the interestlevel corresponds to a second interest level.
 6. Thecomputer-implemented method as described in claim 1, wherein the usercontext data includes one or more of a user search history or a userinteraction history.
 7. The computer-implemented method as described inclaim 1, wherein the action comprises purchasing the selected item,adding the selected item to a list, or bidding on the selected item. 8.The computer-implemented method as described in claim 1, whereinselecting the action further comprises selecting a first action if theinput pressure corresponds to a first pressure and the interest levelcorresponds to a first interest level, and initiating a second action ifthe input pressure corresponds to a second pressure and the interestlevel corresponds to the first interest level.
 9. Thecomputer-implemented method as described in claim 1, wherein selectingthe action further comprises selecting a first action if the inputpressure corresponds to a first pressure and the interest levelcorresponds to a first interest level, and initiating a second action ifthe input pressure corresponds to the first pressure and the interestlevel corresponds to a second interest level.
 10. Thecomputer-implemented method as described in claim 1, wherein selectingthe action further comprises selecting a first action if the inputpressure corresponds to a first pressure and the interest levelcorresponds to a first interest level, and initiating a second action ifthe input pressure corresponds to a second pressure and the interestlevel corresponds to a second interest level.
 11. A machine-readablestorage medium comprising instructions that, when executed by one ormore processors of a machine, cause the machine to perform operationscomprising: displaying a plurality of items in a graphical userinterface at a client device; receiving user input from a user to selectan item of the plurality of items; determining an input pressure of theuser input to select the item; determining an interest level of the userin the item based at least in part on user context data associated withthe user; selecting an action associated with the selected item based onboth the input pressure and the interest level of the user in the item;and initiating the selected action.
 12. The machine-readable storagemedium of claim 11, wherein the initiating the action further comprisesinitiating a first action if the input pressure corresponds to a firstpressure and initiating a second action if the input pressurecorresponds to a second pressure.
 13. The machine-readable storagemedium of claim 12, wherein the first pressure is above a pressurethreshold value and the second pressure is below the pressure thresholdvalue.
 14. The machine-readable storage medium of claim 12, wherein thefirst pressure comprises firm pressure and the second pressure compriseslight pressure.
 15. The machine-readable storage medium of claim 11,wherein the initiating the action further comprises initiating a firstaction if the interest level corresponds to a first interest level andinitiating a second action if the interest level corresponds to a secondinterest level.
 16. The machine-readable storage medium of claim 11,wherein the user context comprises one or more of a user search historyor a user interaction history.
 17. The machine-readable storage mediumof claim 11, wherein the action comprises purchasing the selected item,adding the selected item to a list, or bidding on the selected item. 18.A computing device comprising: a touch screen; and at least a memory anda processor configured to: display a plurality of items in a graphicaluser interface at a client device; receive, via the touch screen, userinput from a user to select an item of the plurality of items; determinean input pressure of the user input to select the item; determine aninterest level of the user in the item based at least in part on usercontext data associated with the user; select an action associated withthe selected item based on both the input pressure and the interestlevel of the user in the item; and initiate the selected action.
 19. Thecomputing device of claim 18, wherein the initiating the action furthercomprises initiating a first action if the input pressure corresponds toa first pressure and initiating a second action if the input pressurecorresponds to a second pressure.
 20. The computing device of claim 19,wherein the first pressure is above a pressure threshold value and thesecond pressure is below the pressure threshold value.